| Nakiyami vs Jin | 40–58 | 40.82% |
| Nakiyami vs Kazuya | 34–33 | 50.75% |
| Nakiyami vs Reina | 31–23 | 57.41% |
| Nakiyami vs King | 16–27 | 37.21% |
| Nakiyami vs Dragunov | 15–26 | 36.59% |
| Nakiyami vs Hwoarang | 15–25 | 37.50% |
| Nakiyami vs Bryan | 10–27 | 27.03% |
| Nakiyami vs Lili | 15–22 | 40.54% |
| Nakiyami vs Victor | 13–22 | 37.14% |
| Nakiyami vs Eddy | 8–24 | 25.00% |
| Nakiyami vs Devil Jin | 10–21 | 32.26% |
| Nakiyami vs Jun | 14–17 | 45.16% |
| Nakiyami vs Yoshimitsu | 9–16 | 36.00% |
| Nakiyami vs Steve | 11–14 | 44.00% |
| Nakiyami vs Clive | 8–13 | 38.10% |
| Nakiyami vs Law | 9–11 | 45.00% |
| Nakiyami vs Paul | 8–11 | 42.11% |
| Nakiyami vs Lars | 8–11 | 42.11% |
| Nakiyami vs Alisa | 5–13 | 27.78% |
| Nakiyami vs Asuka | 6–11 | 35.29% |
| Nakiyami vs Lee | 5–10 | 33.33% |
| Nakiyami vs Leroy | 7–8 | 46.67% |
| Nakiyami vs Raven | 7–7 | 50.00% |
| Nakiyami vs Heihachi | 7–7 | 50.00% |
| Nakiyami vs Claudio | 4–9 | 30.77% |
| Nakiyami vs Leo | 5–7 | 41.67% |
| Nakiyami vs Nina | 7–5 | 58.33% |
| Nakiyami vs Zafina | 2–8 | 20.00% |
| Nakiyami vs Azucena | 4–5 | 44.44% |
| Nakiyami vs Jack-8 | 4–3 | 57.14% |
| Nakiyami vs Feng | 2–5 | 28.57% |
| Nakiyami vs Kuma | 1–6 | 14.29% |
| Nakiyami vs Xiaoyu | 3–3 | 50.00% |
| Nakiyami vs Shaheen | 0–2 | 0.00% |
| Nakiyami vs Panda | 0–2 | 0.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.